Preprints

1. Chattopadhyay, S., Chakraborty, A., & Dunson, D. B. (2020). Nearest Neighbor Dirichlet Process, (Submitted)
2. Chakraborty, A., Ou, R., & Dunson, D. B. (2021). Bayesian inference for high-dimensional multivariate binary data, (Submitted)

Publications

1. Chakraborty, A., Ovaskainen, O., & Dunson, D. B. (2021). Bayesian semiparametric long memory models for discretized event data, Annals of Applied Statistics (just accepted)

2. Chakraborty, A., Bhattacharya, A., & Mallick, B. K. (2019). Bayesian sparse multiple regression for simultaneous rank reduction and variable selection, Biometrika, 107(1), 205-221. arxiv

3. Sarkar, A., Pati, D., Chakraborty, A., Mallick, B. K., & Carroll, R. J. (2018). Bayesian semiparametric multivariate density deconvolution, Journal of the American Statistical Association, 113(521), 401-416. arxiv

4. Jain, P., Chakraborty, A., Pistikopoulos, E. N., & Mannan, M. S. (2018). Resilience-based process upset event prediction analysis for uncertainty management using Bayesian deep learning: application to a polyvinyl chloride process system, Industrial & Engineering Chemistry Research, 57(43), 14822-14836.

5. Bhattacharya, A., Chakraborty, A., & Mallick, B. K. (2016). Fast sampling with Gaussian scale mixture priors in high-dimensional regression, Biometrika, 103(4), 985-991. arxiv